Chief Solution Architect (Pre-sales, AI + Data Transformation)
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Key details
- Location
- Canada
- Work style
- Remote
- Level
- Lead / Staff+
- Job type
- Full-time
- Experience
- 7–12 yrs
- Function
- Sales & Solutions
- Focus area
- other
- Posted
- Yesterday
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Chief Solution Architect (Pre-sales, AI + Data Transformation) based in Canada.
We are looking for an experienced technology leader to drive strategic pre-sales initiatives and shape complex data, cloud, and AI transformation opportunities. In this role, you will work at the intersection of technical architecture, business strategy, and consultative sales, helping enterprise organizations unlock the full potential of emerging technologies. You will lead early-stage client discovery, design innovative solutions, and translate business challenges into scalable technical architectures. Working closely with sales, engineering, and delivery teams, you will influence high-value opportunities and help secure large-scale transformation engagements. You will also act as a trusted advisor to senior executives, guiding decisions around cloud modernization, machine learning, Generative AI, and Agentic AI. This is an opportunity to establish and shape a new pre-sales function while contributing to industry thought leadership and long-term business growth.
Accountabilities:
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Lead strategic pre-sales initiatives: Partner with sales teams to conduct early client discovery, identify business challenges, qualify opportunities, and translate complex requirements into compelling technical solutions and strategic proposals.
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Design advanced data and AI architectures: Develop scalable solutions across data engineering, analytics, machine learning, Generative AI, and Agentic AI, primarily leveraging Google Cloud Platform.
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Drive strategic client advisory: Facilitate executive workshops and technical discussions focused on AI strategy, cloud modernization, data platform transformation, and Generative AI readiness.
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Own solution scoping and commercial proposals: Lead technical estimation, project scoping, Statements of Work (SOWs), and Request for Proposal (RFP) responses in collaboration with sales and delivery stakeholders.
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Support high-value opportunities: Contribute to deal strategy, solution reviews, and technical positioning for strategic enterprise opportunities, particularly engagements valued at $1 million or more.
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Develop strategic architecture recommendations: Create compelling points of view and alternative architecture proposals that balance business impact, technical feasibility, implementation complexity, and cost efficiency.
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Build executive-level relationships: Establish credibility with C-suite executives, business decision-makers, enterprise architects, and technical stakeholders, acting as a trusted advisor throughout the transformation journey.
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Contribute to thought leadership and market positioning: Represent the organization at client meetings, industry conferences, partner events, executive dinners, and other strategic engagements.
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Develop industry-specific solutions: Collaborate with go-to-market teams to create presentations, strategic briefs, technical perspectives, and reusable solutions tailored to Telecommunications, Financial Services (FSI), Media, and Agencies.
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Strengthen technical standards: Work with architecture and technology leadership to establish best practices, technical standards, reusable architectures, and implementation guidelines for data and AI deployments.
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Enable internal teams: Share industry insights, emerging technology trends, discovery methodologies, and technical accelerators with sales and delivery teams to improve their effectiveness.
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7–12 years of professional experience in data engineering, analytics, machine learning, cloud engineering, or solution architecture, including involvement in large-scale digital, data, or AI transformation initiatives.
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At least 3 years of experience in pre-sales, technical consulting, or client-facing advisory roles, with